Results 181 to 190 of about 646,611 (300)

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies

Advanced Engineering Materials, EarlyView.
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo, Daniela Winsley Valereto Friozi, Vinícius de Oliveira, Marcia Cristina Branciforti   +3 more
wiley   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Effect of physical activity on changes in weight and aerobic capacity during an 18-month behavioral weight loss intervention. [PDF]

Int J Behav Nutr Phys Act
Creasy SA, Ostendorf DM, Kaizer L, Rosenberg R, Breit MJ, Bessesen DH, Melanson EL, Catenacci VA.   +7 more
europepmc   +1 more source

A randomized controlled trial examining the effects of behavioral weight loss treatment on hippocampal volume and neurocognition. [PDF]

Physiol Behav, 2023
Chao AM, Zhou Y, Erus G, Davatzikos C, Cardel MI, Foster GD, Wadden TA.   +6 more
europepmc   +1 more source

Characterization of Nitinol Produced by Laser Powder Bed Fusion for Mechanical Metamaterial Applications

Advanced Engineering Materials, EarlyView.
Stabilization of L‐PBF Ni50.7Ti49.3 under low‐cycle loading was investigated. Recoverable strain after cycling was dependent on the amount of applied load. Recovery ratio was 53.4% and 35.1% at intermediate and high load, respectively. The maximum total strain reached 10.3% at a high load of 1200 MPa.
Ondřej Červinek, Jakub Hurník, Miroslav Šmíd, Ondřej Zobač, Melanie Todt, Daniel Koutný   +5 more
wiley   +1 more source

Gamification and neurotraining to engage men in behavioral weight loss: Protocol for a factorial randomized controlled trial. [PDF]

Contemp Clin Trials, 2023
Forman EM, Butryn ML, Chwyl C, Crane MM, Dart H, Hagerman CJ, Manasse SM, Onu M, Sun J, Veling H, Zhang F.   +10 more
europepmc   +1 more source

Influence of an Argon/Silane Atmosphere on the Temperature of a Thermal Plasma

Advanced Engineering Materials, EarlyView.
The influence of a silane‐doped argon atmosphere on the chemical composition and temperature of a thermal nontransferring argon plasma is investigated using optical emission spectroscopy. As a result of the high amount of free electrons resulting from the stepwise ionization and dissociation of the silane molecule, even a silane addition of 0.01 vol ...
Lena Kreie, David Kramer, Thomas Scheithauer, Hans Jürgen Maier, Thomas Hassel   +4 more
wiley   +1 more source

Associations between chronotype, weight loss, and adherence to caloric intake and physical activity goals during a behavioral weight loss intervention. [PDF]

J Behav Med
Swanson TN, Bauman V, Ross KM.
europepmc   +1 more source

Patterns and Predictors of Engagement With Digital Self-Monitoring During the Maintenance Phase of a Behavioral Weight Loss Program: Quantitative Study. [PDF]

JMIR Mhealth Uhealth, 2023
Crane N, Hagerman C, Horgan O, Butryn M.
europepmc   +1 more source